Posted by
Maguin, Eugene on
URL: http://spssx-discussion.165.s1.nabble.com/How-to-enter-cross-sectional-time-series-data-into-SPSS-for-correlation-tp5726681p5726990.html
It's not so difficult to do at all. The important element is that a long data structure is never used. Visualize the following dataset. The association between alcohol use and depression symptoms is well known. Suppose N-many people report past week alcohol use (AU1-AU10) and past week depression symptoms (DS1-DS10) for 10 weeks. Wide format data.
Second, specialized software (Amos, EQS, Mplus, Lisrel, etc).
You can set the problem up in as a multilevel model but it's more complicated from the discussion I have read.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of dave
Sent: Friday, August 15, 2014 12:37 PM
To:
[hidden email]
Subject: Re: How to enter cross-sectional time-series data into SPSS for correlation
@ David Greenberg: There is some criticism re CLC, that's right. However, there are also authors/papers stating that CLC /with / Rozelle-Campbell-baseline is a sufficient approach. So this seems to be an unsettled dispute and from what I have read so far, the approach isn't discredited. After all, it still is very frequently used, although I have to admit that SEM or Granger seem to be superior for that kind of analysis.
In general, yes, I failed. I will have a look at ways that are less sophisticated. Still, it hurts a bit that I failed with the structure. I just don't understand how so many damn social scientists can do CLC when it obviously is SO difficult to actually perform it.
Thanks anyways, guys. Some of you really tried hard to save me. ;-)
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